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Chen Chen,Yu-Jie Chi,Ming-Yang Zhao,Wei Xu 한국식품과학회 2012 Food Science and Biotechnology Vol.21 No.1
Functional properties, antioxidant, and angiotensin-I converting enzyme (ACE) inhibitory activities of egg white protein hydrolysate (EWPH) prepared with trypsin at different degree of hydrolysis (DH) were investigated. The DPPH radical scavenging activity, reducing power, lipid peroxidation inhibitory activity, and ACE inhibitory activity increased with DH at first and then decreased gradually. Hydrolysates with 12.4% DH had the highest antioxidant and ACE inhibitory activities. As DH increased, the solubility of EWPH increased while the emulsifying and foaming properties decreased. The functional properties of EWPH were also controlled by pH. Ultrafiltration of the hydrolysate with 12.4% DH revealed that the fractions of molecular weight lower than 3 kDa exhibited the highest antioxidant and ACE inhibitory activities. The results indicated that EWPH with different DH have different bioactive and functional properties and EWPH by controlled hydrolysis may be useful ingredients in food and nutraceutical applications with potential bioactive properties.
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Guo-Jun Yu,Shao-Jie Zhu,Cheng-Bin Du,Ling-Yun Wang,Jun-Chi Huang 한국자기학회 2023 Journal of Magnetics Vol.28 No.3
This paper studies magnetic field control and velocity-activated magnetorheological shear thickening fluid (MR-STF). High-concentration STF is composed of nano-sized silica particles suspended in a solvent polyethylene glycol (PEG), and then micron-sized carbonyl iron particles of different mass fractions are added to the STF to manufacture different MR-STF. The rheometer is used to study the viscoelasticity of all four samples. The correlation between dynamic behavior and shear rate, angular frequency, and external magnetic field is studied and discussed. In the lower angular frequency range, the loss modulus is slightly larger than the storage modulus, and MR-STF behaves as a viscoelastic state. After the critical angular frequency, the storage modulus decreases sharply, well below the loss modulus. MR-STF appears in a viscous state and a liquid state. With the start of external field excitation, MR-STF is more inclined to MRF. Finally, the apparent viscosity and shear rate of MR-STF are fitted. The results show that with the increase of magnetic induction strength, the plastic viscosity coefficient of MR fluid increases, the flow characteristic index decreases, and the shear thinning effect becomes more significant.
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Neurotrophic Artemin Promotes Motility and Invasiveness of MIA PaCa-2 Pancreatic Cancer Cells
Meng, Ling-Xin,Chi, Yu-Hua,Wang, Xiang-Xu,Ding, Zhao-Jun,Fei, Li-Cong,Zhang, Hong,Mou, Ling,Cui, Wen,Xue, Ying-Jie Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.5
Objective: To analyze the capacity of neurotrophic artemin to promote the motility and invasiveness of MIA PaCa-2 pancreatic cancer cells. Methods: MIA PaCa-2 was cultured in vitro and studied using transwell chambers for motility and invasiveness on treatment with different concentrations of aArtemin or its receptor $GFR{\alpha}3$ were also determined. Expression of matrix metalloproteinase-2 (MMP-2) and epithelial cadherin (E-cadherin) was quantified using RT-PCR and Western blotting. Results: MIA PaCa-2 pancreatic cancer cell motility and invasiveness was significantly increased with artemin and its receptor $GFR{\alpha}3$ with dose dependence (P<0.01). MMP-2 production was also significantly increased (t = 6.35, t = 7.32), while E-cadherin was significantly lowered (t = 4.27, t = 5.61) (P <0.01). Conclusion: Artemin and its receptor $GFR{\alpha}3$ can promote pancreatic cancer cell motility and invasiveness and contribute to aggressive behavior. The mechanism may be related to increased expression of MMP-2 molecule and down-regulation of E-cadherin expression.
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Jing Zhu,Jun-xia Yu,Jia-dong Chen,Jie-sen Zhang,Jia-qi Tang,Yuan-lai Xu,Yue-fei Zhang,Ru-an Chi 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.6
A modified sugarcane bagasse (SCB) fixed bed column was used to remove Pb2+ from aqueous solution. To determine the optimal condition for Pb2+ separation, Ca2+ was chosen as the model interfering ion, and effects of Ca2+ and Pb2+ initial concentration ratio (C0 Ca : C0 Pb) on the adsorption of Pb2+ were investigated. Results showed that adsorption amount ratio of Ca2+ and Pb2+ (qe Ca : qe Pb) had a good linear relationship with C0 Ca : C0 Pb. Mass ratio of Pb2+ absorbed on the modified SCB was higher than 95% at C0 Ca : C0 Pb<1.95, illustrating that Pb2+ could be selectively removed from aqueous solution. To verify that, simulated waste water containing co-ions of K+, Na+, Cd2+ and Ca2+ was treated, and results showed that the equilibrium amount of Pb2+, K+, Na+, Cd2+ and Ca2+ adsorbed was 134.14, 0.083, 0.058, 1.28, and 1.28mg g−1, respectively, demonstrating that the modified SCB could be used to remove Pb2+ from aqueous solution in the investigated range.
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Combining ICA and SVR in Times Series Predication
Wensheng Dai,Jui-Yu Wu,Chi-Jie Lu 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10
In this paper, a time series prediction approach by combing independent component analysis (ICA) and support vector regression (SVR)is proposed ICA is a novel statistical signal processing technique that was originally proposed to find the latent source signals from observed mixture signal without knowing any prior knowledge of the mixing mechanism. SVR is and artificial intelligence forecasting technique and has been widely applied in time series prediction problems. The proposed approach First uers ICA to the forecasting variables for generating the independent components(ICs). After identifying and removing the ICs containing the noise, the rest of the ICs are then used to reconstruct the forecasting variables which contain less noise. The SVR then uses the denoised forecasting variables to build the forecausting model. in order to evaluaate the performance of the proposed approach the TAIEX(Taiwan Stock Exchange Capitalization weighted Steock index) closing cash index is usde as the illusrtative example. Experimental results show that the proposed model outperforms the SVR model with mon ?filtered forecasting variables and random walk model
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